27 citations · 32 across the 3 of their papers we have counts for
3 papers
Bootstrapping the Cross-Validation Estimate
Bryan Cai, Yuanhui Luo, Xinzhou Guo +6
Cross-validation is a widely used technique for evaluating the performance of prediction models, ranging from simple binary classification to complex precision medicine strategies.…
Combining randomized and non-randomized data to predict heterogeneous effects of competing treatments
Konstantina Chalkou, Tasnim Hamza, Pascal Benkert +7
Some patients benefit from a treatment while others may do so less or do not benefit at all. We have previously developed a two-stage network meta-regression prediction model that…
Synthesizing cross-design evidence and cross-format data using network meta-regression
Tasnim Hamza, Konstantina Chalkou, Fabio Pellegrini +9
In network meta-analysis (NMA), we synthesize all relevant evidence about health outcomes with competing treatments. The evidence may come from randomized controlled trials (RCT) o…